Dataframe

# >>> from techminer2.visualize.specialized_plots.trending_words import dataframe # >>> dataframe( # … # # … # ITEMS PARAMS: # … field=’author_keywords’, # … # # … # TREND ANALYSIS: # … time_window=2, # … # # … # ITEM FILTERS: # … top_n=20, # … occ_range=(None, None), # … gc_range=(None, None), # … custom_terms=None, # … # # … # DATABASE PARAMS: # … root_dir=”example/”, # … database=”main”, # … year_filter=(None, None), # … cited_by_filter=(None, None), # … ).head()

rank_occ OCC … average_growth_rate average_docs_per_year

author_keywords … FINTECH 1 31 … -1.0 9.0 INNOVATION 2 7 … -1.5 0.5 FINANCIAL_SERVICES 3 4 … 0.0 1.5 FINANCIAL_INCLUSION 4 3 … -1.0 0.0 FINANCIAL_TECHNOLOGY 5 3 … 0.0 1.0 <BLANKLINE> [5 rows x 7 columns]